distilbert-base-scoring

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: my_awesome_model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# my_awesome_model
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2227
+- Quadratic Weighted Kappa: 0.8432
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Quadratic Weighted Kappa |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------:|
+| No log        | 1.0   | 21   | 1.4531          | 0.7630                   |
+| No log        | 2.0   | 42   | 1.4259          | 0.7622                   |
+| No log        | 3.0   | 63   | 1.2936          | 0.8170                   |
+| No log        | 4.0   | 84   | 1.2508          | 0.8353                   |
+| No log        | 5.0   | 105  | 1.2348          | 0.8469                   |
+| No log        | 6.0   | 126  | 1.2241          | 0.8444                   |
+| No log        | 7.0   | 147  | 1.2227          | 0.8432                   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1